{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import os"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "root_data_path = '/root/data/video_decoding'\n",
    "train_path = os.path.join(root_data_path, 'cut_data_zscore', 'train')\n",
    "val_path = os.path.join(root_data_path, 'cut_data_zscore', 'val')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "20240823_1413_1_1_1.npy\n",
      "(57, 6000)\n"
     ]
    }
   ],
   "source": [
    "train_names = os.listdir(train_path)\n",
    "\n",
    "length = len(train_names)\n",
    "count = 0\n",
    "feat_train_data1 = []\n",
    "feat_train_data2 = []\n",
    "spec_train_data = []\n",
    "for train_name in train_names:\n",
    "    print(train_name)\n",
    "    file = np.load(os.path.join(train_path, train_name))\n",
    "    print(file.shape)\n",
    "    break"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "error\n"
     ]
    },
    {
     "ename": "ValueError",
     "evalue": "invalid literal for int() with base 10: ''",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mValueError\u001b[0m                                Traceback (most recent call last)",
      "Cell \u001b[0;32mIn[3], line 28\u001b[0m\n\u001b[1;32m     26\u001b[0m file2 \u001b[39m=\u001b[39m file2\u001b[39m.\u001b[39mtranspose((\u001b[39m1\u001b[39m, \u001b[39m0\u001b[39m))\n\u001b[1;32m     27\u001b[0m name \u001b[39m=\u001b[39m train_name1[:\u001b[39m-\u001b[39m\u001b[39m4\u001b[39m]\n\u001b[0;32m---> 28\u001b[0m number \u001b[39m=\u001b[39m \u001b[39mint\u001b[39;49m(name[\u001b[39m20\u001b[39;49m:])\n\u001b[1;32m     29\u001b[0m \u001b[39mif\u001b[39;00m number \u001b[39m>\u001b[39m\u001b[39m=\u001b[39m \u001b[39m15\u001b[39m:\n\u001b[1;32m     30\u001b[0m     count \u001b[39m+\u001b[39m\u001b[39m=\u001b[39m \u001b[39m1\u001b[39m\n",
      "\u001b[0;31mValueError\u001b[0m: invalid literal for int() with base 10: ''"
     ]
    }
   ],
   "source": [
    "\n",
    "root_data_path = '/root/data/video_decoding'\n",
    "train_path1 = os.path.join(root_data_path, 'npy_data_class_30', 'train')\n",
    "val_path1 = os.path.join(root_data_path, 'npy_data_class_30', 'val')\n",
    "train_path2 = os.path.join(root_data_path, 'npy_data_class_30_zscore', 'train')\n",
    "val_path2 = os.path.join(root_data_path, 'npy_data_class_30_zscore', 'val')\n",
    "result_path = os.path.join(root_data_path, 'results', 'cls_30')\n",
    "\n",
    "train_names1 = os.listdir(train_path1)\n",
    "train_names2 = os.listdir(train_path2)\n",
    "\n",
    "length = len(train_names1)\n",
    "count = 0\n",
    "feat_train_data1 = []\n",
    "feat_train_data2 = []\n",
    "spec_train_data = []\n",
    "while count < length:\n",
    "    train_name1 = train_names1[count]\n",
    "    train_name2 = train_names2[count]\n",
    "    if train_name1 != train_name2:\n",
    "        print('error')\n",
    "    \n",
    "    file1 = np.load(os.path.join(train_path1, train_name1))\n",
    "    file2 = np.load(os.path.join(train_path2, train_name2))\n",
    "    file2 = file2.transpose((1, 0))\n",
    "    name = train_name1[:-4]\n",
    "    number = int(name[20:])\n",
    "    if number >= 15:\n",
    "        count += 1\n",
    "        continue\n",
    "    feat_train_data1.append(file1)\n",
    "    feat_train_data2.append(file2)\n",
    "    spec_train_data.append(int(name[20:]))\n",
    "    count += 1\n",
    "feat_train1 = np.array(feat_train_data1)\n",
    "feat_train2 = np.array(feat_train_data2)\n",
    "spec_train = np.array(spec_train_data)\n",
    "print(feat_train1.shape)\n",
    "print(feat_train2.shape)\n",
    "print(spec_train.shape)\n"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 模型"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "import torch.nn as nn\n",
    "import torch\n",
    "\n",
    "class EEGNet(nn.Module):\n",
    "    def __init__(self, in_channels=57, out_channels=128):\n",
    "        super(EEGNet, self).__init__()\n",
    "        self.conv1 = nn.Conv1d(in_channels, out_channels, kernel_size=5)\n",
    "        # 可以添加更多的卷积层、池化层等\n",
    "\n",
    "    def forward(self, x):\n",
    "        x = self.conv1(x)\n",
    "        # 重塑后两维\n",
    "        x = x.view(x.size(0), -1)\n",
    "        return x\n",
    "\n",
    "model = EEGNet(57, 128)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "torch.Size([585, 50688])\n"
     ]
    }
   ],
   "source": [
    "feat_train2_tensor = torch.tensor(feat_train2).float()\n",
    "output = model(feat_train2_tensor)\n",
    "print(output.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(585, 50688)\n"
     ]
    }
   ],
   "source": [
    "# 使用 t-SNE 进行降维\n",
    "from sklearn.manifold import TSNE\n",
    "tsne = TSNE(n_components=2, random_state=42)\n",
    "out = output.detach().numpy()\n",
    "print(out.shape)\n",
    "reduced_data = tsne.fit_transform(out)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(585, 2)\n"
     ]
    }
   ],
   "source": [
    "print(reduced_data.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "# 绘制降维后的点，用不同颜色表示不同类别\n",
    "unique_labels = np.unique(spec_train_data)\n",
    "for label in unique_labels:\n",
    "    indices = np.where(spec_train_data == label)\n",
    "    plt.scatter(reduced_data[indices, 0], reduced_data[indices, 1], label=f'Class {label}')\n",
    "\n",
    "plt.xlabel('t-SNE Component 1')\n",
    "plt.ylabel('t-SNE Component 2')\n",
    "plt.title('EEG Signal Clustering Visualization')\n",
    "plt.legend()\n",
    "plt.show()"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 音频聚类情况"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "import torchaudio\n",
    "os.environ['HF_ENDPOINT'] = 'https://hf-mirror.com'\n",
    "import torch\n",
    "from transformers import AutoProcessor\n",
    "\n",
    "from wave_model import MainBackbone\n",
    "from util import load_waves"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Loading checkpoint shards: 100%|██████████| 2/2 [00:00<00:00,  2.07it/s]\n"
     ]
    }
   ],
   "source": [
    "gpu_id = 4\n",
    "device = torch.device(f\"cuda:{gpu_id}\" if torch.cuda.is_available() else \"cpu\")\n",
    "model = MainBackbone(input_dim=57, output_dim=512).to(device)\n",
    "processor = AutoProcessor.from_pretrained('facebook/seamless-m4t-v2-large')\n",
    "waves = load_waves(processor) # 加载所有音频\n",
    "waves = waves.to(device)\n",
    "model.eval()\n",
    "wave_features = model.wave(waves)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "torch.Size([30, 512])\n"
     ]
    }
   ],
   "source": [
    "print(wave_features.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.manifold import TSNE\n",
    "\n",
    "tsne = TSNE(n_components=2, random_state=42, perplexity=14)\n",
    "out = wave_features.to('cpu').detach().numpy()\n",
    "reduced_data = tsne.fit_transform(out)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "\n",
    "# 创建一个图形和坐标轴\n",
    "fig, ax = plt.subplots()\n",
    "\n",
    "num_points = 15\n",
    "colors = np.random.rand(num_points, 3)  # 生成随机颜色\n",
    "\n",
    "# 绘制 30 个点\n",
    "for i in range(num_points):\n",
    "    ax.scatter(reduced_data[i, 0], reduced_data[i, 1], c=[colors[i]], label=f'Point {i + 1}')\n",
    "\n",
    "# 添加标题和标签\n",
    "ax.set_title('t-SNE Reduced Data Points')\n",
    "ax.set_xlabel('Dimension 1')\n",
    "ax.set_ylabel('Dimension 2')\n",
    "\n",
    "# 显示图例\n",
    "ax.legend()\n",
    "\n",
    "# 显示图形\n",
    "plt.show()"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 分割视频"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "from moviepy.editor import VideoFileClip\n",
    "from pydub import AudioSegment\n",
    "import os\n",
    "\n",
    "root_path = '/root/data/video_decoding/video'\n",
    "\n",
    "def mp4_to_wav(name):\n",
    "    mp4_file = os.path.join(root_path, 'origin', f'{name}_1.mp4')\n",
    "    output_folder = os.path.join(root_path, 'split')\n",
    "    video_clip = VideoFileClip(mp4_file)    # 加载 MP4 文件\n",
    "    audio_clip = video_clip.audio    # 获取音频部分\n",
    "    audio_duration = audio_clip.duration    # 计算音频时长（以秒为单位）\n",
    "    audio_fps = audio_clip.fps\n",
    "\n",
    "    # 分割音频并保存为 WAV 文件\n",
    "    for i in range(int(audio_duration)):\n",
    "        start_time = i \n",
    "        end_time = i + 1\n",
    "        segment = audio_clip.subclip(start_time, end_time) \n",
    "        segment.write_audiofile(f\"{output_folder}/{name}_{i+1}.wav\", fps=audio_fps, nbytes=2, codec='pcm_s16le')\n",
    "\n",
    "    print(f\"已成功将 {mp4_file} 切分成 1 秒的 WAV 文件。\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "44100\n",
      "44100\n"
     ]
    }
   ],
   "source": [
    "mp4_to_wav(\"mj\")          # fps = 44100\n",
    "mp4_to_wav(\"porter\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "pytorch",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.12.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
